Automated Data Capture in Indoor Construction Sites
Reliable objective (i.e., cost, time, and scope) assessment of architecture, engineering, and construction (AEC) projects requires reliable data with respect to the as-built conditions. Manual data acquisition in such continually changing environments is laborious, costly, and error-prone. This project aims to develop an automated data capture system for indoor construction environments using multi-sensor autonomous unmanned aerial vehicles (UAVs). This requires the use of autonomous navigation, localization, and mapping algorithms in a GPS-denied indoor environment, while incorporating and updating the information available in the building information model (BIM). The application of such a system includes automated visual progress monitoring, visual inspection, quality control, and BIM updating.